School starting age policy and students' risky health behaviors

A school starting age policy may generate disparities in the age at which students enter school, and in the relative age for grade among children born in similar periods. I analyze the impacts of being young-for-grade on students' risky health behaviors. Using a fuzzy regression discontinuity design which exploits the school entry system in South Korea, I find that being younger in the class leads students to begin drinking alcohol earlier. In addition, it increases the likelihood of drinking over the past 30 days. Being young-for-grade also impacts the probability of having sexual intercourse during one's high school years. My main findings are driven by both girls and boys. The robustness of my results is supported by several alternative specifications.

Intergenerational transmission of parental risky health behaviors in Chinese children: Are there socioeconomic status differences?

Background

Risky health behaviors in childhood, including smoking, alcohol consumption, and having a poor diet, are the major sources of non-communicable diseases in adulthood. This study aimed to examine how parents affect children's risky health behaviors and whether intergenerational transmission differs based on socioeconomic status (SES).

Methods

Data were extracted from the 1991-2015 China Health and Nutrition Survey (CHNS). Smoking (n = 5,946), alcohol consumption (n = 7,821), and sugar-sweetened beverages (SSBs) consumption (n = 3,537) were used as proxies for risky health behaviors in children. A binary choice model for panel data with a random-effect specification was employed to examine whether risky health behaviors can be transmitted from parents to their children. Subsequently, we conducted a seemingly unrelated estimation test (SUEST) to explore the differences in parental transmission between the different SES groups.

Results

We found strong intergenerational persistence of smoking, alcohol drinking, and SSBs drinking behaviors, except for the mothers' smoking behavior. Mothers had a greater influence on children's alcohol drinking and SSBs drinking behaviors than fathers both in urban and rural areas and in different SES groups. The intergenerational transmission of SSBs drinking behavior exhibited a decreasing trend with increasing SES for both urban and rural families. In urban areas, mothers' alcohol drinking behavior has a decreasing trend with increasing education level, occupation, and income; however, in rural areas, the influence of mothers' alcohol drinking behavior occurred in the same direction with increasing education level and occupation type. In rural areas, the influence of fathers' drinking and smoking behaviors on children appears to mostly increase with increasing SES. Meanwhile, the influence of such behaviors among urban fathers would decrease with increasing SES.

Conclusion

Parents' behaviors and SES can influence the initiation of risky health behaviors in their offspring. Thus, to promote healthy behaviors, policymakers can introduce health education programs for parents, particularly for those living in rural areas and with a low SES.

The relationship between internet addiction and risky health behaviors in university students: A cross-sectional study in Turkey

PURPOSE

The study was carried out to determine the relationship between internet addiction and risky health behaviors in university students.

DESIGN AND METHODS

The study, which is cross-sectional research, was conducted with 606 university students in the 2019-2020 academic year and used face-to-face interviews.

FINDINGS

It was determined that 7.15% of the students had internet addiction with limited symptoms. A positive and significant relationship was found between internet addiction and risky health behaviors (p < 0.05).

PRACTICE IMPLICATIONS

To reduce internet addiction and risky health behaviors, counseling, planning peer education programs, and creating an environment where students can express themselves should be provided. It is also recommended that students develop relationships with their social environment and participate in social activities.

Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review

BACKGROUND

Modifiable risky health behaviors, such as tobacco use, excessive alcohol use, being overweight, lack of physical activity, and unhealthy eating habits, are some of the major factors for developing chronic health conditions. Social media platforms have become indispensable means of communication in the digital era. They provide an opportunity for individuals to express themselves, as well as share their health-related concerns with peers and health care providers, with respect to risky behaviors. Such peer interactions can be utilized as valuable data sources to better understand inter-and intrapersonal psychosocial mediators and the mechanisms of social influence that drive behavior change.

OBJECTIVE

The objective of this review is to summarize computational and quantitative techniques facilitating the analysis of data generated through peer interactions pertaining to risky health behaviors on social media platforms.

METHODS

We performed a systematic review of the literature in September 2020 by searching three databases-PubMed, Web of Science, and Scopus-using relevant keywords, such as "social media," "online health communities," "machine learning," "data mining," etc. The reporting of the studies was directed by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Two reviewers independently assessed the eligibility of studies based on the inclusion and exclusion criteria. We extracted the required information from the selected studies.

RESULTS

The initial search returned a total of 1554 studies, and after careful analysis of titles, abstracts, and full texts, a total of 64 studies were included in this review. We extracted the following key characteristics from all of the studies: social media platform used for conducting the study, risky health behavior studied, the number of posts analyzed, study focus, key methodological functions and tools used for data analysis, evaluation metrics used, and summary of the key findings. The most commonly used social media platform was Twitter, followed by Facebook, QuitNet, and Reddit. The most commonly studied risky health behavior was nicotine use, followed by drug or substance abuse and alcohol use. Various supervised and unsupervised machine learning approaches were used for analyzing textual data generated from online peer interactions. Few studies utilized deep learning methods for analyzing textual data as well as image or video data. Social network analysis was also performed, as reported in some studies.

CONCLUSIONS

Our review consolidates the methodological underpinnings for analyzing risky health behaviors and has enhanced our understanding of how social media can be leveraged for nuanced behavioral modeling and representation. The knowledge gained from our review can serve as a foundational component for the development of persuasive health communication and effective behavior modification technologies aimed at the individual and population levels.

The effect of unemployment on the smoking behavior of couples

Although unemployment likely entails various externalities, research examining its spillover effects on spouses is scarce. This is the first paper to estimate effects of unemployment on the smoking behavior of both spouses. Using German Socio-Economic Panel data, we combine matching and difference-in-differences estimation, employing the post-double-selection method for control variable selection via Lasso regressions. One spouse's unemployment increases both spouses' smoking probability and intensity. Smoking relapses and decreased smoking cessation drive the effects. Effects are stronger if the partner already smokes and if the male partner becomes unemployed. Of several mechanisms discussed, we identify smoking to cope with stress as relevant.

Lifestyle Factors Associated With Sunscreen Use Among Young Adults

Background. Skin cancer is the most common cancer in the United States with melanoma rates increasing. Sunscreen use is an effective way to protect the skin and reduce skin cancer risk. Limited research has been conducted examining the relationship between sunscreen use and other lifestyle factors. Interventions aimed at multiple lifestyle factors have shown promise for prevention and reduced health care costs. Objective. This study explores the relationship between sunscreen use and lifestyle factors associated with mortality and morbidity among young adults. Lifestyle factors examined included physical activity, substance abuse, smoking, sexual behavior, unintentional injury, and mental well-being. Methods. A convenience sample of 747 college students was surveyed about sunscreen use and other health risks. Data were analyzed using SPSS 19. Results. White, female students older than 21 years were more likely to use sunscreen. Texting while driving, low life satisfaction, and binge drinking were associated with inadequate sunscreen use. Limitations. Convenience sampling limits generalizability and surveys are subject to recall, self-report, and self-selection bias. Conclusions. The findings provide the framework to develop multiple risk factor interventions.

The Dow is Killing Me: Risky Health Behaviors and the Stock Market

We investigate how risky health behaviors and self-reported health vary with the Dow Jones Industrial Average (DJIA) and during stock market crashes. Because stock market indices are leading indicators of economic performance, this research contributes to our understanding of the macroeconomic determinants of health. Existing studies typically rely on the unemployment rate to proxy for economic performance, but this measure captures only one of many channels through which the economic environment may influence individual health decisions. We find that large, negative monthly DJIA returns, decreases in the level of the DJIA, and stock market crashes are widely associated with worsening self-reported mental health and more cigarette smoking, binge drinking, and fatal car accidents involving alcohol. These results are consistent with predictions from rational addiction models and have implications for research on the association between consumption and stock prices.

Risky health behaviors among mothers-to-be: the impact of adverse childhood experiences

OBJECTIVES

Adverse childhood experiences (ACEs) are risk factors for health problems later in life. This study aims to assess the influence of ACEs on risky health behaviors among mothers-to-be and determine whether a dose response occurs between ACEs and risky behaviors.

METHODS

A prospective survey of women attending health centers was conducted at the first prenatal care visit, and at 3 and 11 months postpartum. Surveys obtained information on maternal sociodemographic and health characteristics, and 7 ACEs prior to age 16. Risky behaviors included smoking, alcohol use, marijuana use, and other illicit drug use during pregnancy.

RESULTS

Our sample (N = 1476) consisted of low-income (mean annual personal income, $8272), young (mean age, 24 years), African American (71%), single (75%) women. Twenty-three percent of women reported smoking even after finding out they were pregnant, 7% reported alcohol use, and 7% reported illicit drug use during pregnancy. Nearly three fourths (72%) had one or more ACEs. There was a higher prevalence of each risky behavior among those exposed to each ACE than among those unexposed. The exception was alcohol use during pregnancy, where there was not an increased risk among those exposed when compared with those unexposed to witnessing a shooting or having a guardian in trouble with the law or in jail. The adjusted odds ratio for each risky behavior was >2.5 for those with >3 ACEs when compared with those without.

CONCLUSIONS

ACEs were associated with risky health behaviors reported by mothers-to-be. Greater efforts should target the prevention of ACEs to lower the risk for adverse health behaviors that have serious consequences for adults and their children.